Artificial Intelligence II Fall '96
Ernie Davis, WWH 429, x83123. DAVISE@CS.NYU.EDU.
Office hours: Tu, Th 2:00 - 3:30
Prerequisites: Artificial Intelligence I
Requirements: Problem sets (50%),
Final exam (50%)
All programming assignments must be done in LISP or Scheme.
Textbooks: "Artificial Intelligence: A Modern Approach" by Stuart Russell
and Peter Norvig.
Course accounts are on ACF5, a VAX running UNIX.
Course home page: http://cs.nyu.edu/cs/dept_info/course_home_pages/fall96/
G22.2561
Topics:
Plausible reasoning: probability, decision theory, non-monotonic inference
(AIMA chaps 14-16)
Natural Language Processing:
Syntax, semantics, discourse analysis, ambiguity resolution, generation.
Statistical models in NLP. (AIMA chaps 22-23).
Knowledge representation: (AIMA chap 8, section 10.6)
Domain specific: Temporal representations, epistemic representations
spatial representations
Domain independent: Production rules, semantic networks, frame systems.
Vision (AIMA chap 24)
Robotics (AIMA chap 25)
Books on reserve at CIMS library:
"Representations of Commonsense Knowledge" by Ernest Davis.
"Computational linguistics: an introduction" by Ralph Grishman.
"Statistical Language Learning" by Eugene Charniak
"A Guided Tour of Computer Vision" by Vishvjit Nalwa
Submitting homework:
Programming assignments must be submitted by email. The format should
be the ASCII source file for the code. Be sure to include your name as
a comment at the beginning of the code.
Problem sets may be submitted either by email or in hard-copy. Acceptable
formats for email are ASCII text (much preferred) and Postscript (if you must).
NO OTHER FORMATS WILL BE ACCEPTED. PLEASE DO NOT SEND MIME ENCODED EMAIL.
If you are submitting an assignment by email, please include the number of
the class (G22.2561) in the subject of the message. (On the other hand,
if you are sending me a message that requires a quick response, do not include
the class number in the subject, as messages with that subject are being
forwarded to a separate mail queue.)
Homeworks must be submitted at or before the beginning of class on the
day due. Assignments will be accepted up to a week late, with a penalty
of one point out of ten. No assignments will be accepted more than a week
late.